Cantitate/Preț
Produs
Total produse
Vezi coșul
Modeling Decisions for Artificial Intelligence de Vincenc Torra

Modeling Decisions for Artificial Intelligence

Editat de Vincenc Torra, Yasuo Narukawa, Guillermo Navarro-Arribas, David Megías
en Limba Engleză Paperback – 23 oct 2013
This book constitutes the proceedings of the 10th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2013, held in Barcelona, Spain, in November 2013. The 24 papers presented in this volume were carefully reviewed and selected from 40 submissions. They deal with the theory and tools for modeling decisions, as well as applications that encompass decision making processes and information fusion techniques.
Citește tot Restrânge

Preț: 32381 lei

Preț vechi: 40476 lei
-20%

Puncte Express: 486

Carte tipărită la comandă

Livrare economică 15-29 iulie

Livrare prin curier în România Termenul estimat este afișat lângă disponibilitate.
Transport gratuit de la 40000 lei Plată online sau ramburs, în funcție de opțiunile comenzii.
Retur gratuit în 14 zile Comandă securizată și suport în română.
 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă

Specificații

ISBN-13: 9783642415494
ISBN-10: 3642415490
Pagini: 332
Ilustrații: XXII, 309 p. 88 illus.
Dimensiuni: 155 x 235 x 19 mm
Greutate: 0.51 kg
Ediția:2013
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

Theory and Applications of Non-additive Measures and Corresponding Integrals.- Some New Domain Restrictions in Social Choice, and Their Consequences.- Weighted Quasi-Arithmetic Means: Utility Functions and Weighting Functions.- Toward a General Framework for Information Fusion.- Facility Location and Social Choice via Microaggregation.- Ordering Pareto Sets with Fuzzy Inference Systems.- A Comparison of Two Approaches for Situation Detection in an Air-to-Air Combat Scenario.- Web 2.0 Tools to Support Decision Making in Enterprise Contexts.- Using the Logarithmic Generator Function in the Spoken Term Detection Task.- Emotion Detection Using Hybrid Structural and Appearance Descriptors.- A Lazy Learning Approach for Self-training.- Combining Recommender and Reputation Systems to Produce Better Online Advice.- Pushing Constraints into a Pattern-Tree.- Generalization of Quadratic Regularized and Standard Fuzzy c-Means Clustering with Respect to Regularization of Hard c-Means.- Semi-supervised Sequential Kernel Regression Models with Pairwise Constraints.- Query Optimization Strategies in Similarity-Based Databases.- Variables for Controlling Cluster Sizes on Fuzzy c-means.- On Sequential Cluster Extraction Based on L1-Regularized Possibilistic Non-metric Model.- Fast Implementations of Markov Clustering for Protein Sequence Grouping.- The Property of χ2 01-Concordance for Bayesian Confirmation Measures.- Permutability of Fuzzy Consequence Operators Induced by Fuzzy Relations.- Fuzzy Multisets in Granular Hierarchical Structures Generated from Free Monoids.- Landmark Selection for Isometric Feature Mapping Based on Mixed-Integer Optimization.- Rough c-Regression Based on Optimization of Objective Function.- Improving Automatic Edge Selection for Relational Classification.- Analyzing the Impact of Edge Modifications on Networks.